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Table 1 Input parameters to the model

From: Modeling of smartphones’ power using neural networks

Predictor name Description Generation method Range
MF utilization CPU utilization while operating at the median frequency rang Variable polling with OS counters 0–1
HF utilization CPU utilization while operating at the high frequency range Variable polling with OS counters 0–1
Screen on Fraction of time screen was on Broadcast receivers 0–1
Screen brightness Average screen brightness Variable polling 20–255
Call ringing Fraction of time smartphone was ringing Broadcast receivers 0–1
Call off-hook Fraction of time smartphone was in call Broadcast receivers 0–1
Data on Fraction of time smartphone was connected to some mobile network Broadcast receivers 0–1
Data traffic Average number of bytes sent/received through mobile network per second Variable polling with OS counters ≥0
WIFI on Fraction of time phone is connected to some WIFI network Broadcast receivers 0–1
WIFI traffic Average number of bytes sent/received through WIFI interface per second Variable polling with OS counters ≥0
SD traffic Average number of sectors read/written per second Variable polling with OS counters ≥0
Audio on Fraction of time audio device was active Broadcast receivers 0–1
GSMRSSI Average mobile received signal strength indication Broadcast receivers (−113)–(−48) dBm
NET HSDPA Fraction of time mobile connected to HSDPA network (3G) Broadcast receivers 0–1
NET EDGE Fraction of time mobile connected to EDGE network (2.5G) Broadcast receivers 0–1
NETGPRS Fraction of time mobile connected to GPRS network (2G) Broadcast receivers 0–1
GPS on Fraction of time GPS adapter is on Broadcast receivers 0–1